Pittsburgh Health Data Alliance, Carnegie Mellon University, University of Pittsburgh, UPMC, Center for Machine Learning and Health Carnegie Mellon University

Center for Machine Learning and Health at Carnegie Mellon University

The Center for Machine Learning and Health (CMLH) at Carnegie Mellon University is one of two centers launched under the umbrella of the Pittsburgh Health Data Alliance, formed in 2015 to unite Carnegie Mellon's unrivaled applied-computing capabilities, the University of Pittsburgh's world-class health-sciences research, and UPMC's clinical care and commercialization expertise. The CMLH supports great science and engineering that can lead to innovative health solutions and new businesses.


2018 Faculty Research Awards (CFP) in the Speech and Language Area

UPMC, UPMC Enterprises and the CMLH have identified a timely need for additional fundamental research in the speech and language area (using an inclusive definition), and aligned with the formation of abridge.ai, a Pittsburgh startup company. UPMC has made additional funding available to CMLH to support an additional call for proposals (CFP) on approaches that can contribute to an improved understanding and use of interactive communication in the healthcare domain. This focused CFP seeks proposals that analyze and enhance communication between providers, patients, and other stakeholders to document processes, improve compliance, avoid biases, improve satisfaction for providers and/or patients, and ultimately provide better care at lower cost and with fewer errors. Florian Metze, associate professor in CMU's Language Technologies Institute, is spearheading this special solicitation with our partners at UPMC Enterprises.

This is an internal call for Carnegie Mellon faculty members only. Full details are available in the following documents:


Fellowships in Digital Health

Fourteen graduate students have been awarded one-year fellowships by UPMC Enterprises through the Center for Machine Learning and Health, beginning in fall 2017. Each fellowship provides full support for one year for a student who is pursuing cutting-edge research that advances digital health, broadly defined. Check out our Fellows page to read more about the new recipients.


 

Project Funding

From bench to bedside, the CMLH funds projects that strive to bridge the gap between research and practice. All funded work at CMLH will have a clear line of sight to commercial application. Although many CMLH projects will involve data analytics and machine learning, our approach is technology agnostic. We welcome proposals that involve human-computer interaction, language technologies, information systems, computer graphics, computer vision, artificial intelligence, robotics, electrical engineering, economics, psychology, sociology, public policy, business administration, law, design, and any other disciplines that apply to healthcare.

Funding is available at two levels — awards for early-stage research projects and multiyear awards for follow-on projects that have demonstrated clear commercial potential.

In addition to offering funding, CMLH provides support for funded projects in the form of datasets, access to patients and doctors for empirical validation of new concepts, and entrepreneurial mentorship.


News and Information

Visit our News and Information page for relevant articles and upcoming events

Contact the CMLH at cmlh@cs.cmu.edu or 412-268-6288.